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Dev tools · July 26, 2023

DankGPT – Chat with Your Documents

Uses hybrid semantic search (combination of dense embeddings and sparse vectors) to retrieve high quality answers across your documents. Features - Significantly faster than competition (Process a 200 page PDF in <5s) - Much better answer quality - Fast summarization tool - Beta API for end to end extractive document QA ([email protected]) Try it out (no login) - Llama 2 paper https:&#x2F;&#x2F;www.dankgpt.com&#x2F;chat&#x2F;346f444d-e286-4671-b157-540f4cb... - Scott Aaronson Quantum Information Science lectures…

DankGPT – Chat with Your Documents launched on July 26, 2023 with 17 votes, #1,512 of 4,347 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 3 years on.

In plain words

DankGPT lets users ask questions and get answers from their uploaded documents using hybrid semantic search combining dense embeddings and sparse vectors. It processes 200-page PDFs in under 5 seconds and offers summarization tools. The platform requires no login to try and includes a beta API for extractive document question-answering. It's designed for researchers, students, and anyone needing to quickly extract information from papers, lectures, or reports.

written from the facts on this page · September 2026

From the sources

A GPT4 powered research tool for students and academics.

Quickly break down complex content and research across dozens of documents with our gpt4o-mini powered research assistant. According to the context, one powerful prompting method is the Ask Me Anything Prompting (AMA) method, which involves collecting multiple effective, yet imperfect, prompts and aggregating them to lead to a high-quality prompting strategy. Another method mentioned is the chain-of-thought prompting, which is a general approach inspired by several prior directions such as prompting, natural language explanations, program synthesis/execution, numeric and logical reasoning, and intermediate language steps. Additionally, there are other prompting approaches mentioned in the…from dankgpt.com

In the maker’s words, at launch

Uses hybrid semantic search (combination of dense embeddings and sparse vectors) to retrieve high quality answers across your documents. Features - Significantly faster than competition (Process a 200 page PDF in <5s) - Much better answer quality - Fast summarization tool - Beta API for end to end extractive document…

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